Language: English
Published by Chapman and Hall/CRC 2011-07-19, 2011
ISBN 10: 1420099655 ISBN 13: 9781420099652
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Published by Chapman and Hall/CRC, 2011
ISBN 10: 1420099655 ISBN 13: 9781420099652
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Language: English
Published by Chapman and Hall/CRC, 2011
ISBN 10: 1420099655 ISBN 13: 9781420099652
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Chapman and Hall/CRC, 2011
ISBN 10: 1420099655 ISBN 13: 9781420099652
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Published by Chapman and Hall/CRC, 2011
ISBN 10: 1420099655 ISBN 13: 9781420099652
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Published by Taylor & Francis Group, 2011
ISBN 10: 1420099655 ISBN 13: 9781420099652
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Language: English
Published by Chapman and Hall/CRC, 2011
ISBN 10: 1420099655 ISBN 13: 9781420099652
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Published by Taylor & Francis Group, 2011
ISBN 10: 1420099655 ISBN 13: 9781420099652
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Language: English
Published by Taylor & Francis Group, 2011
ISBN 10: 1420099655 ISBN 13: 9781420099652
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Ayanendranath Basu, Hiroyuki Shioya, Chanseok ParkIn many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate dist.
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Language: English
Published by Chapman And Hall/CRC, 2011
ISBN 10: 1420099655 ISBN 13: 9781420099652
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book gives a comprehensive account of density-based minimum distance methods and their use in statistical inference. It covers statistical distances, density-based minimum distance methods, discrete and continuous models, asymptotic distributions, robustness, computational issues, residual adjustment functions, graphical descriptions of robustness, penalized and combined distances, multisample methods, weighted likelihood, and multinomial goodness-of-fit tests. The book also introduces the minimum distance methodology in interdisciplinary areas, such as neural networks and image processing, as well as specialized models and problems, including regression, mixture models, survival and Bayesian analysis, and more.